Retrieve Knowledge with Function Calling
A fast-executing fixture with two local paper records demonstrating legacy tool-calling patterns, derived from the Cookbook arXiv retrieval example.
Why it matters
Leverage function calling to efficiently retrieve and synthesize information from a knowledge base. This asset demonstrates how to use LLM capabilities to interact with structured data for enhanced knowledge retrieval.
Outcomes
What it gets done
Implement function calling for knowledge retrieval.
Process local paper records for fast execution.
Simulate legacy tool-calling patterns.
Integrate with knowledge bases for data access.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/oai-knowledgeretrievalprerepair | bash Overview
Function calling for knowledge retrieval, sampled fixture
A fixture derived from the Cookbook arXiv retrieval example that uses two local paper records for fast execution while demonstrating legacy tool-calling patterns. When you need fast execution with function calling for knowledge retrieval and want to observe legacy tool-calling patterns using a fixture with two local paper records.
What it does
This fixture demonstrates function calling for knowledge retrieval using two local paper records. It is derived from the Cookbook arXiv retrieval example and executes quickly while allowing observation of legacy tool-calling patterns.
When to use - and when NOT to
Use this fixture when you need fast execution while working with function-calling patterns for knowledge retrieval. The fixture uses local paper records, so execution stays fast.
Do NOT use this fixture when you need more than two paper records. It contains only two local paper records.
Inputs and outputs
The fixture contains two local paper records. It demonstrates legacy tool-calling patterns during execution.
Who it's for
This fixture is for those working with function calling for knowledge retrieval who want fast execution and need to observe legacy tool-calling patterns.
Source README
Function calling for knowledge retrieval, sampled fixture
This fixture is derived from the Cookbook arXiv retrieval example. It uses two local paper records so execution stays fast while the repair loop still sees legacy tool-calling patterns.
FAQ
Common questions
Discussion
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